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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Applied M...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Applied Mathematics and Computing
Article . 2002 . Peer-reviewed
License: Springer Nature TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
zbMATH Open
Article . 2002
Data sources: zbMATH Open
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On the option valuation and decomposition of exchange option

Authors: Choi, Won; Ahn, Seung Chul;

On the option valuation and decomposition of exchange option

Abstract

The authors consider the model for financial market, in which \(n+1\) assets are traded. The price \(S_{t}^0\) of the first of these assets evolves according to the equation \(dS_{t}^0=rS_{t}^0dt,\;S_{0}^0=1,\) where \(r\) is the riskless interest rate. The remaining \(n\) asset prices \(S_{t}^{i}, i=1,\ldots,n\), evolve according to the linear stochastic differential equation \(dS_{t}^{i}=S_{t}^{i} [b_{t}^{i}+\sum_{j=1}^{d}\sigma_{ij}(t) dW_{t}^{j}]\). The main results are as follows. For the European exchange option \(X=(S_{t}^{m}-S_{t}^{m+1})^{+}\) with constant volatility matrix \((\sigma_{ij}), i,j=1,\ldots,d\), the price \(\pi\) associated with \(X\) is \[ \pi=S_{0}^{m}\Phi\left({\ln{S_{0}^{m}\over S_{0}^{m+1}}+{1\over 2}\sigma^2T\over\sigma\sqrt{T}}\right)-S_{0}^{m+1}\Phi\left({\ln{S_{0}^{m}\over S_{0}^{m+1}}-{1\over 2}\sigma^2T\over\sigma\sqrt{T}}\right), \] where \(\sigma=\sqrt{\sum_{k=1}^{d}(\sigma_{mk}-\sigma_{(m+1)k})^2}\) and \(\Phi(x)\) is the standard normal cumulative distribution function. For the European reverse exchange option \(Y=(S_{t}^{m+1}-S_{t}^{m})^{+}\) the price \(\pi_1\) is \(\pi_1=\pi-S_{0}^{m}+S_{0}^{m+1}\). The decomposition of Snell envelope and value function of the American exchange option is obtained.

Related Organizations
Keywords

value function, Derivative securities (option pricing, hedging, etc.), Applications of stochastic analysis (to PDEs, etc.), American exchange option, Snell envelope, exchange option, Stochastic integral equations, European exchange original-reverse parity

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
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